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<h1>demoCluster
</h1>

<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>Clustering demo.</strong></div>

<h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>This is a script file. </strong></div>

<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre class="comment"> Clustering demo.

 Used to test different clustering algorithms on 2D and 3D mixture of
 gaussian data. Alter demo by edititing this file.

 USAGE
  demoCluster

 INPUTS

 OUTPUTS

 EXAMPLE
  demoCluster

 See also <a href="kmeans2.html" class="code" title="function [ IDX, C, d ] = kmeans2( X, k, varargin )">KMEANS2</a>, <a href="meanShift.html" class="code" title="function [IDX,M] = meanShift(X, radius, rate, maxIter, minCsize, blur )">MEANSHIFT</a>

 Piotr's Image&amp;Video Toolbox      Version 2.0
 Copyright 2008 Piotr Dollar.  [pdollar-at-caltech.edu]
 Please email me if you find bugs, or have suggestions or questions!
 Licensed under the Lesser GPL [see external/lgpl.txt]</pre></div>

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<h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
This function calls:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="demoGenData.html" class="code" title="function [X,IDX,T,IDT] = demoGenData(n,m,k,d,c,e,f)">demoGenData</a>	Generate data drawn form a mixture of Gaussians.</li><li><a href="distMatrixShow.html" class="code" title="function [D, Dsm] = distMatrixShow( D, IDX, show )">distMatrixShow</a>	Useful visualization of a distance matrix of clustered points.</li><li><a href="kmeans2.html" class="code" title="function [ IDX, C, d ] = kmeans2( X, k, varargin )">kmeans2</a>	Fast version of kmeans clustering.</li><li><a href="meanShift.html" class="code" title="function [IDX,M] = meanShift(X, radius, rate, maxIter, minCsize, blur )">meanShift</a>	meanShift clustering algorithm.</li><li><a href="pdist2.html" class="code" title="function D = pdist2( X, Y, metric )">pdist2</a>	Calculates the distance between sets of vectors.</li><li><a href="visualizeData.html" class="code" title="function visualizeData( X, k, IDX, types, C )">visualizeData</a>	Project high dim. data unto principal components (PCA) for visualization.</li><li><a href="../images/im.html" class="code" title="function varargout = im( I, range, extraInf )">im</a>	Function for displaying grayscale images.</li></ul>
This function is called by:
<ul style="list-style-image:url(../matlabicon.gif)">
</ul>
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